A two-stage stochastic programming approach for identifying optimal postponement strategies in supply chains with uncertain demand

•A stochastic model for identifying optimal postponement strategies in supply chains.•Our approach provide managerial decision support and boost the corporate profit.•Postponement is an efficient strategy to reduce supply chain risks.•Results contain information for applicants and facilitate a transfer into practice.•The best solution technique depends on the representation of the uncertainty.